Instructions to use Rupesh2/mistral_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rupesh2/mistral_lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rupesh2/mistral_lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Rupesh2/mistral_lora_model: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/Rupesh2/mistral_lora_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Rupesh2/mistral_lora_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Rupesh2/mistral_lora_model/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- b34c9c086ccc359a5f15d7cd4eba829c3a56b9cfe8e6db9a6818b4a381cef275
- Size of remote file:
- 168 MB
- SHA256:
- e1ac1b696576e8ed5de7fdef9e64ea7240c06dcf982b98463844853a8c316f80
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